Paper Citation Record · LEDGER

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance

As of 11 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2507.10574.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.10574 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:34:25.605057Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact1
verified fuzzy13
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea90a32e-daee-406e-b725-684fa2b635c9 · outbound

This paper cites an unresolved cited work.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:34:25.791496Z

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Observation 8ef6d363-e032-4c89-8006-df703e1b8b64 · outbound

This paper cites an unresolved cited work.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:34:25.783886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9ffc4f19-f411-4981-a98f-e07e67e6dc26 · outbound

This paper cites Kullback and R.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Kullback and R

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.775248Z

Source-reported events for the cited work

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Observation d28dbc09-a695-4816-a890-55540be8b2b2 · outbound

This paper cites an unresolved cited work.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:34:25.766710Z

Source-reported events for the cited work

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Observation 4a804016-d645-400a-a9c7-688b6c12496c · outbound

This paper cites Deep learning.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Deep learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:34:25.556935Z

Source-reported events for the cited work

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Observation d98dfbf1-160c-4e0e-ac9d-29b354bf3647 · outbound

This paper cites an unresolved cited work.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:34:25.755941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4d9587a9-97ac-4400-8ed3-93638f121073 · outbound

This paper cites Generalized linear models.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Generalized linear models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.749196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation beb578fb-bff9-452f-b66d-b21d8932cf55 · outbound

This paper cites Cross-entropy los s functions: Theoretical analysis and applications.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Cross-entropy los s functions: Theoretical analysis and applications

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.741623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ea42d3b2-1cc1-418e-8d20-ddccd26b7fa5 · outbound

This paper cites Uniface : Uniﬁed cross-entropy loss for deep face recognition.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Uniface : Uniﬁed cross-entropy loss for deep face recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.733511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a8882f0a-cb61-4987-9ec8-403a2515374e · outbound

This paper cites an unresolved cited work.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:34:25.725860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 35e80819-27ae-4ac6-adb0-a7f9b6bf7b8f · outbound

This paper cites An alternative cross entropy loss for learnin g-to-rank.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance An alternative cross entropy loss for learnin g-to-rank

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.719066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1fc0d861-1c7e-4add-9f05-98dbaaf5844e · outbound

This paper cites Ad- dressing imbalance in multi-label classiﬁcation using weighted cross en tropy loss function.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Ad- dressing imbalance in multi-label classiﬁcation using weighted cross en tropy loss function

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.712039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a8ad1c2-95cc-422d-8ecc-7b52409e065b · outbound

This paper cites Generalized cross entropy loss f or training deep neural networks with noisy labels.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Generalized cross entropy loss f or training deep neural networks with noisy labels

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.704990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d54883c9-ac09-463f-9f32-6756c1f44f5f · outbound

This paper cites Taming the cross ent ropy loss.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Taming the cross ent ropy loss

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.696413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fa8959ec-4659-4d46-af20-f984c5a4392e · outbound

This paper cites Dua l cross-entropy loss for small-sample ﬁne-grained vehicle classiﬁcation.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Dua l cross-entropy loss for small-sample ﬁne-grained vehicle classiﬁcation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.689119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81d319f5-4068-42a5-95b7-f5ecb4acf1f0 · outbound

This paper cites Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:34:25.642460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 35468518-7b72-4f95-bbff-e81ca888b0e4 · outbound

This paper cites An analysis of the softmax cross entropy loss for learning-to-rank with binary relev ance.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance An analysis of the softmax cross entropy loss for learning-to-rank with binary relev ance

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.681239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a907d60-468f-45c9-b5a6-29609491c280 · outbound

This paper cites Mpce: a maximum probability based cross entropy loss function for n eural network classiﬁca- tion.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Mpce: a maximum probability based cross entropy loss function for n eural network classiﬁca- tion

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.672561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 26653cf6-46f4-490b-bc14-e75e95a97bba · outbound

This paper cites The real-world-weight cross -entropy loss function: Modeling the costs of mislabeling.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance The real-world-weight cross -entropy loss function: Modeling the costs of mislabeling

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.664784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8077bdc5-debb-4e67-92e7-ee8f1436f389 · outbound

This paper cites Deep res idual learning for image recognition.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Deep res idual learning for image recognition

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:34:25.597250Z

Source-reported events for the cited work

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Observation b0abfe66-e904-46f3-8314-d9b9a01aa745 · outbound

This paper cites Intriguing properties of neural networks.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Intriguing properties of neural networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:34:25.599684Z

Source-reported events for the cited work

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Observation e2a30539-0b54-42f6-9148-7404f5cc002c · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance Explaining and Harnessing Adversarial Examples

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:34:25.602460Z

Source-reported events for the cited work

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Observation fdc74859-25e5-4c4a-9638-6819ce98b6f2 · outbound

This paper cites A review on multi-label learning a lgorithms.

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance A review on multi-label learning a lgorithms

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:34:25.651304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.